AI Engineer

• Build and scale AI-powered applications and integrations that support risk and operational control workflows
• Implement, refine, and productionize AI/ML solutions in Python
• Develop web applications and internal tools using Flask and Django
• Build and support integrations across equity and derivatives, order management, pricing, and related enterprise platforms
• Deploy and manage applications across Linux and Windows environments
• Develop and maintain applications, interfaces, and data workflows using SQL Server and PostgreSQL
• Maintain CI/CD pipelines and support reliable, automated deployments
• Partner with business and technology stakeholders to translate requirements into robust, production-ready solutions

What You Bring

• 9+ years of full-stack development experience with deep expertise in Python
• Experience implementing AI-generated or AI-assisted solutions in production environments
• Hands-on experience using Claude and other LLMs to accelerate development and problem-solving
• Strong proficiency with Flask and Django for building scalable applications
• Advanced experience with Pandas, NumPy, and related Python libraries
• Strong Linux and Windows Server administration experience
• Deep knowledge of SQL Server and PostgreSQL, including complex SQL development
• Experience with deployment and engineering tools including Apache, Nginx, IIS, Gunicorn, uWSGI, GitHub, Jenkins, and JIRA, along with strong communication skills (edited) 

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